Synthetic CT Generation Based on T2 Weighted MRI of Nasopharyngeal Carcinoma (NPC) Using a Deep Convolutional Neural Network (DCNN)

Synthetic CT Generation Based on T2 Weighted MRI of Nasopharyngeal Carcinoma (NPC) Using a Deep Convolutional Neural Network (DCNN)

Purpose: There is an emerging interest of applying magnetic resonance imaging (MRI) to radiotherapy (RT) due to its superior soft tissue contrast for accurate target delineation as well as functional information for evaluating treatment response. MRI-based RT planning has great potential to enable d...

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Bibliographic Details
Main Authors: Yuenan Wang, Chenbin Liu, Xiao Zhang, Weiwei Deng
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Oncology
Subjects:
synthetic CT (sCT)
magnetic resonance imaging (MRI)
deep learning
convolutional neural network (CNN)
nasopharyngeal carcinoma (NPC)
U-net
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2019.01333/full

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https://www.frontiersin.org/article/10.3389/fonc.2019.01333/full

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